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Identification of Seven Low-Resource North-Eastern Languages: An Experimental Study

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Intelligence Enabled Research

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1109))

Abstract

This paper describes an experimental study on the identification of seven north-eastern (NE) low-resource languages (LRL) of India namely, Assamese, Bengali, Hindi, Manipuri, Mizo, Nagamese, and Nepali using 55-dimensional hybrid features (HF) and hierarchical technique. However, the development of language identification (LID) systems could be leveraged only with the availability of specially curated speech data in LRL and it is a really challenging task to build a system on such under-resourced languages. We have collected around 42 h of speech data (including 35 h for training and 7 h for testing) for analysis on the above-said seven LRL. The process of designing speech database in LRL has been generic enough to be used for other languages as well. We have compared our proposed methodology with baseline system on collected speech data. From the experimental study, it has been observed that our proposed system is outperformed over baseline system and results are encouraging for researchers in low-resource languages. This initial study unveils the importance of HF for NE-LRL.

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Acknowledgements

Authors would like to acknowledge the contribution of NERIST, Arunachal Pradesh for supporting speech data collection from native speakers of north-east Indian. The authors are thankful to CDAC, Kolkata, India for necessary financial and infrastructural support to carry out research activity.

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Authors and Affiliations

  1. CDAC, Kolkata, Salt Lake, Sector - V, Kolkata, 700091, India

    Joyanta Basu

  2. Department of Information Technology, Tripura University, Suryamaninagar, 799022, Tripura, India

    Swanirbhar Majumder

Authors
  1. Joyanta Basu
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  2. Swanirbhar Majumder
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Corresponding author

Correspondence to Joyanta Basu .

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Editors and Affiliations

  1. RCC Institute of Information Technology, Kolkata, India

    Siddhartha Bhattacharyya

  2. Indian Statistical Institute, Kolkata, India

    Sushmita Mitra

  3. Visva-Bharati University, Santiniketan, India

    Paramartha Dutta

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Basu, J., Majumder, S. (2020). Identification of Seven Low-Resource North-Eastern Languages: An Experimental Study. In: Bhattacharyya, S., Mitra, S., Dutta, P. (eds) Intelligence Enabled Research. Advances in Intelligent Systems and Computing, vol 1109. Springer, Singapore. https://doi.org/10.1007/978-981-15-2021-1_9

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